scholarly journals Exploring the factors impacting seller performance during online sales events on e-commerce marketplace in India

2021 ◽  
Vol 12 (3) ◽  
pp. 0-0
Keyword(s):  
Online Shopping ◽  
High Price ◽  
Limited Time ◽  
Product Selection ◽  
Online Sales ◽  
Online Marketplaces ◽  
Order Fulfilment ◽  
Time Periods ◽  
The Right ◽  
Significant Factors

The Indian ecommerce industry has been growing substantially because of changing mindset of the Indian customers and ease of shopping online. A large number of sellers had registered on online marketplaces so that the sellers could reach a larger pool of customers. The goal for sellers was towards increasing sales substantially with optimal efforts. Some sellers were able to accomplish this goal successfully, but a majority of the sellers struggled finding the right formula for success. Ecommerce websites conducted online shopping heavy discount sales events for limited time periods. The objective of this research was to understand the various factors that influenced and impacted the performance of sellers on Indian E-commerce websites during such events. A total of eleven interviews were conducted with Indian E-commerce sales experts. The data was thematically content analysed. Five most significant factors that helped gauge sellers’ performance were late shipment rate, poor order fulfilment rate, limited product selection, high price and low glance views.

scholarly journals Consumer Behaviour Towards Online Shopping – an Analysis with Product Dimensions

2019 ◽  
Vol 8 (12S) ◽  
pp. 511-514
Keyword(s):  
Consumer Behaviour ◽  
Online Shopping ◽  
Chi Square ◽  
Online Purchases ◽  
Online Mode ◽  
Online Sales ◽  
Online Shoppers ◽  
Product Delivery ◽  
Service Sectors ◽  
The Right

Consumer Behaviour is a complex and challenging field to analyze by the marketer as preferences vary over a period of time. The traditional method of purchase is replaced with online mode facilitating the consumer anytime purchase providing all the benefits under a single roof. Various ECommerce models provide both the product and service sectors to utilize the facilities and opportunities at the right time. The online shopping had become an entertainment activity in spite of the gender differences. This study analyses the Consumer Behaviour towards Online Shopping with due considerations with the product related dimensions. Demographic profile of the respondents, awareness to online shopping, influence of product dimensions on Online Shopping Behaviour were the objectives framed for the study. Descriptive research study is adopted and snow ball referencing method was used for sample identification. The sample size constituted was 412 which include 188 samples from Erode district and 224 samples from Trichy district. Data were analyzed using SPSS and tools like chi-square, ANOVA and Correlation were applied. The results indicated that the online shoppers are satisfied with all the product dimensions and the variables like educational qualification, knowledge of online shopping, frequency of online purchases and preferred mode of payment had a significant relationship with the awareness level on online shopping. With due attention to product delivery at remote places and increased advertisements online sales can be increased over a period of time.

Biochemical and Histopathological Evaluation of the Radioprotective Effects of Melatonin Against Gamma Ray-Induced Skin Damage

2019 ◽  
Vol 12 (1) ◽  
pp. 72-81 ◽  
Author(s):  
Dheyauldeen Shabeeb ◽  
Masoud Najafi ◽  
Ahmed Eleojo Musa ◽  
Mansoor Keshavarz ◽  
Alireza Shirazi ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Histopathological Examination ◽  
Radical Scavenging ◽  
Limiting Factor ◽  
Skin Damage ◽  
Exposed Skin ◽  
Male Wistar Rats ◽  
Time Periods ◽  
Skin Damages ◽  
The Right

Background:Radiotherapy is one of the treatment methods for cancers using ionizing radiations. About 70% of cancer patients undergo radiotherapy. Radiation effect on the skin is one of the main complications of radiotherapy and dose limiting factor. To ameliorate this complication, we used melatonin as a radioprotective agent due to its antioxidant and anti-inflammatory effects, free radical scavenging, improving overall survival after irradiation as well as minimizing the degree of DNA damage and frequency of chromosomal abrasions.Methods:Sixty male Wistar rats were randomly assigned to 4 groups: control (C), melatonin (M), radiation (R) and melatonin + radiation (MR). A single dose of 30 Gy gamma radiation was exposed to the right hind legs of the rats while 40 mg/ml of melatonin was administered 30 minutes before irradiation and 2 mg/ml once daily in the afternoon for one month till the date of rat’s sacrifice. Five rats from each group were sacrificed 4, 12 and 20 weeks after irradiation. Afterwards, their exposed skin tissues were examined histologically and biochemically.Results:In biochemical analysis, we found that malondialdehyde (MDA) levels significantly increased in R group and decreased significantly in M and MR groups after 4, 12, and 20 weeks, whereas catalase (CAT) and superoxide dismutase (SOD) activities decreased in the R group and increased in M and MR groups during the same time periods compared with the C group (p<0.05). Histopathological examination found there were statistically significant differences between R group compared with the C and M groups for the three different time periods (p<0.005, p<0.004 and p<0.004) respectively, while R group differed significantly with MR group (p<0.013). No significant differences were observed between C and M compared with MR group (p>0.05) at 4 and 20 weeks except for inflammation and hair follicle atrophy, while there were significant effects at 12 weeks (p<0.05).Conclusion:Melatonin can be successfully used for the prevention and treatment of radiation-induced skin injury. We recommend the use of melatonin in optimal and safe doses. These doses should be administered over a long period of time for effective radioprotection and amelioration of skin damages as well as improving the therapeutic ratio of radiotherapy.

Dynamic network intelligent hybrid recommendation algorithm and its application in online shopping platform

2021 ◽  
pp. 1-13
Author(s):  
Yuxuan Gao ◽  
Haiming Liang ◽  
Bingzhen Sun
Keyword(s):  
Online Shopping ◽  
Rapid Development ◽  
Dynamic Network ◽  
Topsis Method ◽  
Recommendation Algorithm ◽  
Time Periods ◽  
The Difference ◽  
Relationship Of ◽  
Hybrid Recommendation ◽  
Novel Model

With the rapid development of e-commerce, whether network intelligent recommendation can attract customers has become a measure of customer retention on online shopping platforms. In the literature about network intelligent recommendation, there are few studies that consider the difference preference of customers in different time periods. This paper proposes the dynamic network intelligent hybrid recommendation algorithm distinguishing time periods (DIHR), it is a integrated novel model combined with the DEMATEL and TOPSIS method to solved the problem of network intelligent recommendation considering time periods. The proposed method makes use of the DEMATEL method for evaluating the preference relationship of customers for indexes of merchandises, and adopt the TOPSIS method combined with intuitionistic fuzzy number (IFN) for assessing and ranking the merchandises according to the indexes. We specifically introduce the calculation steps of the proposed method, and then calculate its application in the online shopping platform.

Exploring User Information Needs in Online Pet Adoption Profiles

2020 ◽  
Vol 64 (1) ◽  
pp. 1308-1312
Author(s):  
Zoe M. Becerra ◽  
Sweta Parmar ◽  
Keenan May ◽  
Rachel E. Stuck
Keyword(s):  
Information Needs ◽  
Online Shopping ◽  
Physical Characteristics ◽  
User Needs ◽  
User Group ◽  
Animal Shelters ◽  
Types Of Information ◽  
The Right ◽  
And Behavior ◽  
Level Of Importance

With the increase of online shopping, animal shelters can use websites to allow potential adopters to view adoptable animals and increase the number of adoptions. However, little research has evaluated the information needs of this user group. This study conducted a user needs analysis to determine the types of information potential adopters want when searching for a new pet, specifically a cat or dog. Twenty-six participants ranked different behavioral and physical characteristics based on the level of importance and identified their top five overall characteristics. In general, cat adopters ranked the cat’s personality and behavior to be very important and dog adopters found physical characteristics highly important. This study shows the importance of understanding potential adopters’ needs to provide relevant and valued information on online pet adoption profiles. The recommendations and insights can be used to develop pet profiles that meet adopters’ needs and help adopters find the right pet.

scholarly journals Analysis of the Offering and Resale Prices on the Second-Hand Skidders Market

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 729
Author(s):  
Mario Šporčić ◽  
Marijan Šušnjar ◽  
Zdravko Pandur ◽  
Marin Bačić ◽  
David Mijoč ◽  
...  
Keyword(s):  
Empirical Data ◽  
Working Hours ◽  
European Market ◽  
High Price ◽  
Future Trends ◽  
Sale Price ◽  
Wood Extraction ◽  
Online Marketplaces ◽  
Resale Price ◽  
Small Forest

Skidders, as self-propelled machines designed to transport trees or parts of trees by trailing or dragging it from the woods to a landing area, are still extensively used as the main wood extraction equipment in most of the Europe and worldwide. The high price of new machines (and even higher for CTL technology) makes the second-hand skidder market very interesting and appealing, especially for small forest owners and forestry contractors. So, this paper reports on a survey of used skidders available for purchase on the European market. Up-to-date empirical data was gathered by the analysis of the offerings on the main online marketplaces, i.e., specialized websites. The study included skidder make and model, variation in their age, annual usage and resale prices. The survey identified a total of 163 second-hand skidders and the results pointed out the prevalence of small-size machines (<110 kW), the average annual use (after excluding 1 year old machines from calculation) of 863 hours per year and the average re-sale price of about 65,000 EUR. Skidders are most commonly re-sold at an age of 16 years and the calculated price models show that skidder age is a stronger predictor of their value, i.e., resale price, than the total machine working hours. In the concluding section, paper also includes some reflections on possible future trends and perspectives of skidding technology in forestry.

Exploring the Effectiveness of Seller Reputation Mechanism Using Online Sales Data

2014 ◽  
Vol 12 (2) ◽  
pp. 46-58 ◽  
Author(s):  
Ying Wang ◽  
Lei Huang ◽  
Yi Guo
Keyword(s):  
Univariate Analysis ◽  
Subjective Assessment ◽  
Sales Performance ◽  
Attribute Selection ◽  
Sales Data ◽  
Reputation Mechanism ◽  
Online Sales ◽  
Seller Reputation ◽  
Selection Of ◽  
Significant Factors

This paper attempts to explore the effectiveness of the seller reputation mechanism by an empirical study using online sales data collected from TaoBao.com. A comparison analysis of seller reputation metrics of TaoBao, Amazon, and jd are carried out before the selection of the seller reputation metrics. The seller reputation metrics of small appliances are used as the input for the study considering the quality homogeneity among different sellers of the market, and the sales performance is measured by the sales amount of the recent month. The univariate analysis are performed to find out the effect of different seller reputation metrics on the sales performance, and the attribute selection technique is then applied to reveal the most significant factors contributing to the sales performance. The result indicates the significance of the user subjective assessment on the sales performance.

scholarly journals flipkart.com’s Strategy on Amazon.com’s Entry into India :A Case Study

2013 ◽  
Vol 12 (4) ◽  
pp. 131-143
Author(s):  
Padmanabh B
Keyword(s):  
Foreign Direct Investment ◽  
Government Policy ◽  
Direct Investment ◽  
Online Shopping ◽  
Foreign Investments ◽  
Online Retail ◽  
Online Sales ◽  
Internet Users ◽  
The Government

The online retail industry in India is expected to grow to Rs. 7000 crores by 2015. Its size in 2013 is Rs. 2500 crores. By 2014 India is expected to become the 3rd largest nation of Internet users and this would provide huge potential to the online retail Industry1.Among the major cities in India, consumers in Mumbai topped the chart in doing online shopping followed by Ahmedabad and Delhi2. As per Google study conducted in 2012, 51 percent of the traffic for its Great online shopping festival (GOSF) was due to customers from cities other than the four metros. Referring to the growth in online sales, Nitin Bawankule, industry director, e-commerce, online classifieds and media/entertainment at Google India said, “Top motivators for shopping online include cash back guarantee, cash on delivery, fast delivery, substantial discounts compared to retail, and access to branded products”3.  The E –commerce space in India has seen a lot of action and there are many online players like flipkart.com, Myntra.com, Fabmart, Indiaplaza and Indiatimesshopping. Amazon.com made an indirect entry through Junglee.com. The reason for this indirect entry is the result of government policy towards foreign direct investment.  The Government of India announced in September 2012 the revised foreign direct investment policy in retail. As per this announcement foreign investments are blocked in e-commerce sector while allowing 51 percent FDI in multi-brand retail stores and 100 percent FDI in single brand retail. Amazon has been eyeing the Indian E commerce market which is estimated around $2 billion4.

scholarly journals Pembuatan Bokasi Berbahan Dasar Jerami Bagi Masyarakat Kelompok Tani Di Desa Borikamase Kabupaten Maros

2021 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Dian Safitri ◽  
Nurul Magfirah ◽  
Irmawanty Irmawaty ◽  
Haerul Syam
Keyword(s):  
Organic Fertilizer ◽  
Nutrient Content ◽  
Rice Fields ◽  
Raw Material ◽  
Organic Fertilizers ◽  
High Price ◽  
Farming Communities ◽  
Farming Community ◽  
Synthetic Fertilizers ◽  
The Right

The large number of rice fields in Borikamase Village, resulting in high production of hay, requires an appropriate effort to use straw into organic fertilizer or bokashi which is environmentally friendly as well as safe for plants. The use of straw into bokashi or organic fertilizer needs to be taught to the farming community, so the community service team focuses on providing assistance and training to the community in utilizing straw as a raw material in making bokashi by using microorganisms as the source of fermentation. In addition, the high price of synthetic fertilizers on the market makes farmers in Borikamase Village feel heavy in providing nutritional supplies to their agricultural areas, so that this training is expected to help farmers by obtaining fertilizers that are cheap, safe, and of good quality to fertilize. The existence of biotechnology applications, provides the right solution in overcoming the damage to bald mountains and the scarcity and high price of synthetic fertilizers, namely by processing straw into bokashi or organic fertilizers with high nutrient content and are safe for the environment. In addition, providing knowledge and skills for farming communities as agents of reform in restoring ecosystem balance through the application of bokashi made of straw on rice fields. Keywords: Training, Mentoring, Boricamase, Straw

scholarly journals Research and Analysis of an Enterprise E-Commerce Marketing System Under the Big Data Environment

2021 ◽  
Vol 33 (6) ◽  
pp. 1-19
Author(s):  
Linze Li ◽  
Jun Zhang
Keyword(s):  
Big Data ◽  
Online Shopping ◽  
Practical Significance ◽  
Marketing System ◽  
Database Query ◽  
Online Sales ◽  
Modern Business ◽  
And Performance ◽  
Performance Conditions ◽  
Big Data Technology

As an emerging online shopping method, e-commerce has been widely popular since the popularization of the Internet. Online sales and online shopping have become the trend of modern business development. However, the functionality and performance conditions of the existing platform cannot be closely integrated with the merchant's own business. The purpose of this paper is to study the enterprise e-commerce marketing system based on big data. The system design of this paper adopts SSH framework as the main technology, the database selects HBase database, and the front end combines with Web2.0 technology for the interaction of interface display and operation. The experimental results show that applying big data technology to enterprise e-commerce marketing system has extremely important practical significance. Perform a performance analysis on this system,when the amount of data reaches 4000, the speed of HBase is 10.486s, and the query time of Mysql is 50.184s. It can be seen that the Hbase database query speed is much faster than the Mysql database query speed.

DAMPAK FLASH SALE COUNTDOWN TIMER DI MARKETPLACE ONLINE PADA KEPUTUSAN PEMBELIAN DENGAN MINAT BELI SEBAGAI INTERVENING

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Herlina Herlina ◽  
Julia Loisa ◽  
Teady Matius Surya Mulyana
Keyword(s):  
Regression Analysis ◽  
Purchase Intention ◽  
Quantitative Research ◽  
Purchase Decision ◽  
Limited Time ◽  
Purchasing Decisions ◽  
Online Marketplaces ◽  
Product Promotion ◽  
At Home

<em><span lang="IN">Flash Sale</span></em><span lang="IN"> <em>Countdown Timer</em> merupakan bagian dari promosi produk di<em> marketplace online</em> eperti tokopedia, shopee, lazada biasanya letaknya di home menyajikan barang dalam bentuk <em>flash sale </em>yang telah diberikan diskon besar-besaran pada produk tertentu dalam waktu yang terbatas. <em>Flash Sale</em> <em>Countdown timer</em> merupakan layanan promosi menggiring konsumen pengunjung marketplace online untuk berpikir cepat melakukan pembelian selagi diskon besar-besaran dalam waktu terbatas.</span><span>Penelitian ini merupakan jenis penelitian kuantitatif dengan menggunakan analisis regresi dan korelasi. Sampel dalam penelitian ini adalah 85 responden yang diambil secara exsidental. Tujuan dari penelitian ini adalah 1)mengetahui apakah<em> </em></span><em><span lang="IN">Flash Sale</span></em><span lang="IN"> <em>Countdown timer</em> memiliki dampak pada minat beli konsumen</span><span>, 2)mengetahui apakah</span><em><span lang="IN"> Flash Sale</span></em><span lang="IN"> <em>Countdown timer </em>memiliki <em> </em>pada keputusan pembelian produk</span><span>. 3)mengetahui apakah</span><em><span lang="IN"> Flash Sale</span></em><span lang="IN"> <em>Countdown timer </em>memiliki dampak<em> </em>pada keputusan pembelian jika minat beli sebagai variabel intervening.</span><span> Hasil penelitian ini adalah </span><span> </span><em><span lang="IN">Flash Sale </span><span>C</span><span lang="IN">ountdown Timer</span></em><span>memiliki pengaruh yang signifikan terhadap minat beli konsumen. Kontribusi </span><em><span lang="IN">Flash Sale </span><span>C</span><span lang="IN">ountdown Timer</span></em><span><span>dalam menjelaskan minat beli adalah sebesar 33,76% dan sisanya 66,245 dijelaskan oleh variabel lain 2) </span></span><em>Flash Sale</em> <em>Countdown timer</em><em> </em>memiliki pengaruh yang signifikan terhadap keputusan pembelian. Dan Kontribusi <em>Flash Sale</em> <em>Countdown</em><em>timer </em>dalam menjelaskan keputusan pembelian sebesar 43,1%  dan sisanya 56,9% dijelaskan oleh variabel lain. 3) <em>Flash Sale</em> <em>Countdown timer</em>pada keputusan pembelian dengan minat beli sebagai intervening memiliki pengaruh yang signifikan<p><strong>Kata Kunci:</strong> <em>Flash Sale</em> <em>Countdown timer</em><em>, </em>Minat Beli, Keputusan Pembelian.</p><p> </p><p><em>Flash Sale Countdown Timer is part of product promotion in online marketplaces such as tokopedia, shopee, lazada, usually at home, presenting goods in the form of flash sales that have been given massive discounts on certain products for a limited time. Flash Sale Countdown timer is a promotional service that leads consumers who visit online marketplaces to think quickly about making purchases while having massive discounts for a limited time. This research is a type of quantitative research using regression analysis and correlation. The sample in this study were 85 respondents who were taken exsidentally. 1) knowing whether the Flash Sale Countdown timer has an impact on consumer buying interest, 2) knowing whether the Flash Sale Countdown timer has on product purchasing decisions. 3) determine whether the Flash Sale Countdown timer has an impact on purchasing decisions if purchase intention is an intervening variable. The result of this research is the Flash Sale Countdown Timer has a significant effect on consumer buying interest. And the contribution of Flash Sale Countdown Timer in explaining purchase intention is 33.76% and the remaining 66.245 is explained by other variables 2) Flash Sale Countdown timer has a significant effect on purchasing decisions. And the Contribution of Flash Sale Countdowntimer in explaining purchasing decisions is 43.1% and the remaining 56.9% is explained by other variables. 3) Flash Sale Countdown timer on purchasing decisions with buying interest as intervening has a significant effect</em></p><p><em><strong>Keywords</strong>: Flash Sale Countdown timer, Purchase Interest, Purchase Decision</em></p>

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